OCTA Software Tool

 

Optical coherence tomography angiography (OCTA) is an invaluable diagnostic technology for non-invasive, label-free vascular imaging in vivo. However, since it relies on detecting moving cells from consecutive scans, high-resolution OCTA is susceptible to tissue motion, which imposes challenges in resolving and quantifying small vessels. LighTopTech developed a novel OCTA technique named ultrahigh-resolution factor angiography (URFA) by modeling repeated scans as generative latent variables, with a common variance representing shared features and a unique variance representing motion. By iteratively maximizing the combined log-likelihood probability of these variances, the unique variance is largely separated. Meanwhile, features in the common variance are decoupled, in which vessels with dynamic flow are extracted from tissue structure by integrating high-order factors. Compared with the conventional approach, URFA reduces motion artifacts by nearly 50% on average, evaluated on local differences.

Visualizations of human nailfold tissue imaged with GDOCM.

 

Left: en face GDOCM view averaged over a depth of 12 μm.

 

Right: En face view OCTA image processed with LighTopTech’s proprietary URFA method, with capillaries clearly visible.

Visualizations of human nailfold tissue imaged with GDOCM at the boundary between the nail plate and the nailfold soft tissue.

 

Left: en face view slice averaged over a depth of 12 μm.

 

Right: En face view OCTA image processed with LighTopTech’s proprietary URFA method, with characteristic capillary loops clearly visible.

Visualizations of human finger imaged with GDOCM.

 

Left: en face GDOCM view averaged over a depth of 12 μm.

 

Right: En face view OCTA image processed with LighTopTech’s proprietary URFA method displayed with color representing multiple depths.

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